Per-surface concurrency caps
Each capability has a configured concurrency limit, so a noisy run on web cannot starve cloud or identity scans.
The dispatch model that turns a broad capability toolbox into a focused platform. Each capability gets pointed at the surface it was built for — never blasted at every asset by accident.
Running a web DAST against a TLS-only network endpoint produces noise. Running a container scanner against a serverless function produces irrelevant findings. Running a SAST tool against a binary blob produces nothing. Every misdirected scan is cost without signal — and is the single most common cause of "the tool is too noisy" complaints.
Surface-aware orchestration solves it by inverting the dispatch model: instead of asking "which scanners should I run?" the platform asks "which scanners fit this surface?" — and only those run.
Quarterly scan windows are the legacy operating model. Event-driven dispatch fires a targeted scan within minutes of the event that actually changed risk — a git push, a KEV entry, a new certificate, a cloud resource appearing.
The scheduled full sweep still runs, but as a baseline + delta — the platform tells you what changed since last time, not the whole report.
Each capability has a configured concurrency limit, so a noisy run on web cannot starve cloud or identity scans.
Multi-tenant queues prevent one customer's scan storm from affecting another. No noisy-neighbor.
When a downstream stage saturates, dispatch slows automatically. Findings queue cleanly rather than dropping.
Crashed or hung workers are reaped on a schedule. The dispatch surface stays clean; ghost workers do not accumulate.
We'll fire a synthetic event during the call and watch the dispatch land — end-to-end.
Schedule an orchestration walkthrough